• Journal of Biomedical Engineering Research
• /
• v.22 no.5
• /
• pp.439-448
• /
• 2001

This paper considers the acoustical characteristics of the closing click sounds of the mechanical valves employed in an implantable biventricular assist device (BYAD) and their re1evance to the Physical states of the valved. Bj rk Shiley Convexo Concave tilting disk valve was chosen for the study and acoustic measurement was made for the BYAD operated in a mock circulatory system as well as implanted in an animal (sheep). In the BYAD operated in the mock circulatory system. three different states of the valve were examined, ie. normal. mechanically damaged. pseudo-thrombus attached. Microphone measurement for the BVAD implanted in the animal was carried out for five days at a regular time interval from one day after implantation. Characteristic spectrum of the sound from the valve was estimated using Multiple Signal Classification (MUSIC) in which the optimal order was determined according to Bayesian Information Criterion (BIC) . It was observed that the mechanical damage of the valve resulted in changes of the structure of the acoustic spectrum. In contrast. the thrombus formed on the valve did not change much the basic structure of the spectrum but brought about altering the spectral Peak frequencies and energies. Maximum spectral Peak (MSP) with the greatest energy was seen at 2 kHz for the normal valve and it was shifted to 3 kHz for the calve attaching the Pseudo-thrombus. Unlike the normal valve, strong spectral Peak appeared around 7 kHz in the sound from the valve mechanically damaged. In the case of the BYAD implanted in the animal. as the thrombus grew, acoustic energy was reduced relatively more in the low frequency components (〈 2 kHz) and the frequencies of the 1st, 2nd and 3rd MSP were increased little. The thrombus formation would result in reduction in both the variability of the 1st, 2nd and 3rd MSP and the value of the BIC optimal order.

• Management & Information Systems Review
• /
• v.38 no.3
• /
• pp.35-53
• /
• 2019

A standing auditor can perform the monitoring and control activities for the opportunistic behaviors of top manager. However, for this purpose she/he must have the independence from top manager. Thus, this study is designed to analyze the factors that influences the independence of standing auditor. The independence of standing auditor as dependent variable was measured in terms of school and company ties to top manager. The relationship between the shareholding of professional top manager and independence of standing auditor, and the moderating effects of the shareholdings of related-party, institutional investors, and foreign investors were examined by implementing multiple regression and conditional moderating effect analyses. The findings present a negative relationship between the shareholding of professional top managers and the independence of standing auditor. They also reveal a positive moderating effect of the shareholding of related-party on that relationship. On the other hand, the shareholdings of foreign and institutional investors did not significant change the relationship between the shareholding of professional top manager and the independence of standing auditor. The findings imply that professional manager might be able to lower the controlling mechanism by appointing a standing auditor having low independence. Related-party as an internal control mechanism might be beneficial to reduce this effect while institutional investors or foreign investors as an external control mechanisms might not. This is the first study that examine the antecedents of the independence of standing auditor in terms of the characteristics of ownership structure. It provides a guideline for selecting an effective standing auditor with the consideration for ownership structure.

• Journal of The Korean Association For Science Education
• /
• v.18 no.1
• /
• pp.1-17
• /
• 1998

What does mean the statement that scientific reasoning is logical? In this study, we clarify the logical structure of the scientific explanation, prediction and the process of hypothesis testing. To simplify and identify the structure of scientific explanations and prediction more clearly, we used syllogism and presented various concrete examples. Especially, we showed that the logical structure of scientific explanation was well reflected in dynamics. Based on this analysis, it can be said that the deficit of students' understanding of dynamics is because that many scientific activities are focused on prediction rather than explanation. To explain the process of hypothesis testing, we reinterpreted the Wason's selection task as two stages: the process of prediction of experimental phenomena based on the presented hypothesis, and the process of the hypothesis testing based on the predicted experimental phenomena. And we suggested the reason of the logical fallacy of 'affirming the consequent' in science was because that many scientific relationships between the variables is one-to-one relationship, and compared this suggestion with the Lawon's multiple hypothesis theory. To check out the effect of content on the deductive reasoning, we reviewed some researches about psychology and psychology of science. And to understand the role of deductive reasoning in student's scientific activities, we reviewed researches about the analysis of students' responses in the task of conceptual change or evaluation of evidence and so on.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.48 no.4
• /
• pp.116-128
• /
• 2011

In this paper, we propose the structure of a high-performance face-detection engine that responds well to facial rotating changes using rotation transformation which minimize the required memory usage compared to the previous face-detection engine. The validity of the proposed structure has been verified through the implementation of FPGA. For high performance face detection, the MCT (Modified Census Transform) method, which is robust against lighting change, was used. The Adaboost learning algorithm was used for creating optimized learning data. And the rotation transformation method was added to maintain effectiveness against face rotating changes. The proposed hardware structure was composed of Color Space Converter, Noise Filter, Memory Controller Interface, Image Rotator, Image Scaler, MCT(Modified Census Transform), Candidate Detector / Confidence Mapper, Position Resizer, Data Grouper, Overlay Processor / Color Overlay Processor. The face detection engine was tested using a Virtex5 LX330 FPGA board, a QVGA grade CMOS camera, and an LCD Display. It was verified that the engine demonstrated excellent performance in diverse real life environments and in a face detection standard database. As a result, a high performance real time face detection engine that can conduct real time processing at speeds of at least 60 frames per second, which is effective against lighting changes and face rotating changes and can detect 32 faces in diverse sizes simultaneously, was developed.

• Korean Institute of Interior Design Journal
• /
• v.23 no.6
• /
• pp.22-32
• /
• 2014

Development of digital technology, which is individualizing and differentiating the world, makes time and space facilitate multi-layering in the contemporary society. It gives a large influence on the contemporary architecture that inducing the visual and spatial experience. Also, It generates new images through the skin of architecture, which implies the contingent and fluid characteristics. These phenomenon show that various parameters are working on the architectural skin simultaneously. Such complexity make the structure of open space and diversity that are homogenized and synchronized. Like this, the architectural skin implies 'multiplicity': qualitative difference which is enable to change and create new images. This characteristic generates instant images changing variously and semantics constantly by the function of skin as a filter. Also, the architectural skin integrates or relocates of relationships between the various information and elements appearing in contemporary society in order to escape the customary relationship between internal and external. Furthermore, the inside and outside of the mixture as a collection of sense has been recognized as one image. This image of mixture consists of one unified continuous integration and extend the meaning of a fluid interface not just surface of the building. The skin of the contemporary architecture is very technical, so its meaning and role is expanded as a complex that exchange interaction. This means that the skin itself has functional elements of the integrated multiple skin to assist. Also it can form a multi-layered relationship and act as a wide range of interfaces depending on the perception of the observer. Therefore the multiplicity of the architectural skin indicates the importance as a boundary that generate images of new life through the sensory perception and implicit force. And it shows potential as the intermediary to try to communicate.

• Biomedical Science Letters
• /
• v.6 no.3
• /
• pp.165-170
• /
• 2000

Vacuolar (H$^{+}$)-ATPase (V-ATPase) is an intracellular protein which consists of multiple subunits. It carries out acidification by pumping protons in the cell. This enzyme has also been found in the synaptic vesicles and may play an important role in the neurotransmission. We cloned cDNA fragments encoding the 16 kDa subunit of V-ATPase from the rat brain by RT-PCR and PCR using total RNA or recombinant phage DNA as templates. They contained the full coding sequences (468 bp) and one nucleotide at 3' region turned out to be different (A to C) when compared to the liver counterpart. However, this polymorphic difference did not cause any significant change in the primary structure of the protein because both GCA and GCC code for alanine. Our study would contribute to the understanding of the function of 16 M)a V-ATPase in the brain and of the mechanisms of neurotransmission.

• Smart Structures and Systems
• /
• v.4 no.3
• /
• pp.343-365
• /
• 2008

In this study, the frequency domain method which utilizes the evaluation of changes in the structural mode shape is adopted to identify regions which contain localized damages. Frequency response function (FRF) values corresponding to the modal frequency, analogous to the mode shape coefficients, are used since change in natural frequency of the system is usually insignificant for localized damage. This method requires only few sensors to obtain the dynamic response of the structure at specific locations to determine the FRF via fast-Fourier transform (FFT). Numerical examples of an aluminum plate, which includes damages of varying severity, locations and combinations of multiple locations, are presented to demonstrate the feasibility of the method. An experimental verification of the method is also done using an aluminum plate with two different degrees of damage, namely a half-through notch and a through notch. The inconsistency in attaining the FRF values for practical applications due to varying impact load may be overcome via statistical averaging, although large variations in the loading in terms of the contact duration should still be avoided. Nonetheless, this method needs special attention when the damages induce notable changes in the modal frequency, such as when the damages are of high severity or cover more extensive area or near the boundary where the support condition is modified. This is largely due to the significant decrease in the frequency term compared to the increase in the vibration amplitude. For practical reasons such as the use of limited number of sensors and to facilitate automation, extending the resolution of this method of identification may not be efficient. Hence, methods based on wave propagation can be employed as a complement on the isolated region to provide an accurate localization as well as to trace the geometry of the damage.

• Journal of Environmental Science International
• /
• v.24 no.3
• /
• pp.303-316
• /
• 2015

The relationship between urban spatial structures and GHG-AP integrated emissions was investigated by statistically analyzing those from 25 administrative districts of Seoul. Urban spatial structures, of which data were obtained from Seoul statistics yearbook, were classified into five categories of city development, residence, environment, traffic and economy. They were further classified into 10 components of local area, population, number of households, residential area, forest area, park area, registered vehicles, road area, number of businesses and total local taxes. GHG-AP integrated emissions were estimated based on IPCC(intergovernmental panel on climate change) 2006 guidelines, guideline for government greenhouse inventories, EPA AP-42(compilation of air pollutant emission factors) and preliminary studies. The result of statistical analysis indicated that GHG-AP integrated emissions were significantly correlated with urban spatial structures. The correlation analysis results showed that registered vehicles for GHG (r=0.803, p<0.01), forest area for AP (r=0.996, p<0.01), and park area for AP (r=0.889, p<0.01) were highly significant. From the factor analysis, three groups such as city and traffic categories, economy category and environment category were identified to be the governing factors controlling GHG-AP emissions. The multiple regression analysis also represented that the most influencing factors on GHG-AP emissions were categories of traffic and environment. 25 administrative districts of Seoul were clustered into six groups, of which each has similar characteristics of urban spatial structures and GHG-AP integrated emissions.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.15 no.4
• /
• pp.129-142
• /
• 2013

Fabrics created unique features through the change in various ways depending on the elements including fabric structure, threads, thickness, weaving, patterns and processing. This study examined the difference between texture and image depending on components of fabrics. In order to understand the trend of components of fabrics, the actual components of fabrics was analyzed by year, using the women's apparel trend books, Nelly Rodi Fabrics and Promostyl Fabrics. This study analyzed Spring/Summer season and Fall/Winter season from 2002 to 2012. Frequency analysis, cross-tabulation analysis, multiple response cross tabulation analysis were implemented using SPSS 18.0. The followings are the analysis results. For fabric composition, Spring/Summer season used cotton fabric the most. Cotton fabric accounted for relatively high usage in 2005, 2007 and 2008. Fall/Winter season used wool the most in 2002, 2003, 2004 and 2005. In case of fiber blend by fabric composition, cotton was blended with other fibers in Spring/Summer season except wool. The fiber blending ratio of wool was the highest in Fall/Winter season. Wool was blended in most fabrics. More than two patterns were mixed for fabric patterns. The fabric patterns were applied the most in 2012. For fabric processing, the fabrics by sensitivity-functional processing were continuously used every year and the surface finish showed relatively high usage in 2002 and 2011. In conclusion, this study will build the systematic data for 11 years including fabric trends in the past. It can improve specialization, systematization and efficiency in fabric planning.

• Proceedings of the Korean Society of Crop Science Conference
• /
• 2017.06a
• /
• pp.14-14
• /
• 2017

The discipline of plant breeding is experiencing a renaissance impacting crop improvement as a result of new technologies, however fundamental questions remain for predicting the phenotype and how the environment and genetics shape it. Inexpensive DNA sequencing, genotyping, new statistical methods, high throughput phenotyping and gene-editing are revolutionizing breeding methods and strategies for improving both quantitative and qualitative traits. Genomic selection (GS) models use genome-wide markers to predict performance for both phenotyped and non-phenotyped individuals. Aerial and ground imaging systems generate data on correlated traits such as canopy temperature and normalized difference vegetative index that can be combined with genotypes in multivariate models to further increase prediction accuracy and reduce the cost of advanced trials with limited replication in time and space. Design of a GS training population is crucial to the accuracy of prediction models and can be affected by many factors including population structure and composition. Prediction models can incorporate performance over multiple environments and assess GxE effects to identify a highly predictive subset of environments. We have developed a methodology for analyzing unbalanced datasets using genome-wide marker effects to group environments and identify outlier environments. Environmental covariates can be identified using a crop model and used in a GS model to predict GxE in unobserved environments and to predict performance in climate change scenarios. These new tools and knowledge challenge the plant breeder to ask the right questions and choose the tools that are appropriate for their crop and target traits. Contemporary plant breeding requires teams of people with expertise in genetics, phenotyping and statistics to improve efficiency and increase prediction accuracy in terms of genotypes, experimental design and environment sampling.